The Basics of DataOps and Why It Matters – The New Stack

The Basics of DataOps and Why It Matters – The New Stack

Like DevOps, DataOps can be described as workflow-related but helps resolve data-management challenges. “I think of DataOps as creating a workflow or a way of working as a data team that creates efficiencies and allows you to get more done with the resources you have in a better, more stable way,” said Schario.

The practice of DataOps has emerged as another variant of DevOps. It involves how data is managed. But DataOps remains a work in progress for many organizations.

For this latest episode of The New Stack Makers podcast, Alex Williams, founder and publisher of The New Stack talks with guest speakers Dina Graves Portman, developer relations engineer for GoogleEmilie Schario, internal strategy consultant, data, for GitLab; and Nicole Schultz, assistant director of engineering for Northwestern Mutual. They discussed how DataOps is defined and why its application is particularly relevant in today’s highly complex and increasingly distributed environments.

The New Stack Makers · DataOps: The Basics and Why It Matters

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Like DevOps, DataOps can be described as workflow-related but helps resolve data-management challenges. “I think of DataOps as creating a workflow or a way of working as a data team that creates efficiencies and allows you to get more done with the resources you have in a better, more stable way,” said Schario.

DataOps also helps to solve many issues IT teams struggle with related to data. Sadly, broken dashboards and incorrect tallies “seem to be the norm everywhere,” Schario explained.

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